Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review-Reference-Cited by-同舟云学术

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Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

Published:2023-11 Issue: Volume:220 Page:103760
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Kheddar Hamza^ORCID,Himeur Yassine,Awad Ali Ismail^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference197 articles.

1. Modeling and analyzing preemption-based service prioritization in 5G networks slicing framework;Adou;Future Internet,2022

2. Transfer learning: Survey and classification;Agarwal,2021

3. Intrusion detection using transfer learning in machine learning classifiers between non-cloud and cloud datasets;Ahmadi,2018

4. WADI: a water distribution testbed for research in the design of secure cyber physical systems;Ahmed,2017

5. DAHID: Domain adaptive host-based intrusion detection;Ajayi,2021

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3. Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems;Engineering Applications of Artificial Intelligence;2024-11

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5. Secure architecture for Industrial Edge of Things(IEoT): A hierarchical perspective;Computer Networks;2024-09

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